Indoor autonomous navigation refers to the perception and exploration abilities of mobile
agents in unknown indoor environments with the help of various sensors. It is the basic and …

Traditional frame-based cameras, despite their effectiveness and usage in computer vision,
exhibit limitations such as high latency, low dynamic range, high power consumption, and …

Recently, event cameras have shown large applicability in several computer vision fields
especially concerning tasks that require high temporal resolution. In this work, we …

Event cameras with their high temporal and dynamic range and minimal memory usage
have found applications in various fields. However their potential in static traffic monitoring …

Event-based cameras are devices based on neuromorphic sensors that are gaining
popularity in different fields, including robotics. They are suitable for tasks where high …

This paper presents a real-time method to detect and track multiple mobile ground robots
using event cameras. The method uses density-based spatial clustering of applications with …

Autonomous flight of flapping-wing robots is a major challenge for robot perception. Most of
the previous sense-and-avoid works have studied the problem of obstacle avoidance for …

Event cameras are bio-inspired sensors that perform well in challenging illumination
conditions and have high temporal resolution. However, their concept is fundamentally …

The development of automatic perception systems and techniques for bio-inspired flapping-
wing robots is severely hampered by the high technical complexity of these platforms and …

Contrary to other standard cameras, event cam-eras interpret the world in an entirely
different manner; as a collection of asynchronous events. Despite event camera's unique …